DocumentCode :
517480
Title :
A Real-Time Video Stream Key Frame Identification Algorithm for QoS
Author :
Wang, Ruisi ; Wang, Wendong ; Gong, Xiangyang ; Que, Xirong ; Ma, Jian
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
1
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
115
Lastpage :
118
Abstract :
As the rapid development of Internet technology and the deployment of Internet multimedia applications, it´s urgent to solve the QoS problems of the real-time multimedia services in the network for clients. This paper proposes a real-time video stream key frame identification algorithm for QoS, named RVKI. In this algorithm, the frame type of IP packets could be identified at the real-time multimedia server and be marked. This result can be used for some autonomic QoS management to improve the success of IP packets transmission to the client, which carrying real-time multimedia key frame information, while network congestion appeared but could not decrease the packet loss of this application. Test has shown that RVKI can effectively dissect key frame in the real-time multi-media stream and helpful for QoS.
Keywords :
IP networks; Internet; multimedia communication; quality of service; video signal processing; video streaming; IP packets transmission; Internet multimedia applications; Internet technology; RVKI; autonomic QoS management; network congestion; packet loss; rapid development; real-time multimedia key frame information; real-time multimedia server; real-time multimedia services; real-time video stream key frame identification algorithm; IP networks; Image coding; Information analysis; Information technology; Propagation losses; Protection; Quality of service; Streaming media; Videoconference; Web and internet services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
Type :
conf
DOI :
10.1109/MMIT.2010.128
Filename :
5474263
Link To Document :
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